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Influence des lexiques d'émotions et de sentiments sur l'analyse des sentiments Application à des critiques de livres
In: CORIA-EARIA 2019 ; https://hal.archives-ouvertes.fr/hal-02448203 ; CORIA-EARIA 2019, Mar 2019, Villeurbanne, France (2019)
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2
FEEL: a French Expanded Emotion Lexicon
In: https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090 ; 2019, ⟨swh:1:dir:35a446bb6f0808aa0db6f5bcd032f43e9ec71591;origin=https://hal.archives-ouvertes.fr/lirmm-02136090;visit=swh:1:snp:9d258bfd8a07f79cb8063b6ac33d6e710bd3e3f3;anchor=swh:1:rev:2266d773cf993b8718a1d7ca1d1bce145118f527;path=/⟩ (2019)
Abstract: Sentiment analysis allows the semantic evaluation of a piece of text according to the expressed sentiments and opinions. While considerable attention has been given to the polarity (positive, negative) of English words, only few studies were interested in the conveyed emotions (joy, anger, surprise, sadness, etc.) especially in other languages. This report proposes a French Expanded Emotion Lexicon. The elaboration method is based on the semi-automatic translation and expansion to synonyms of the English NRC Word Emotion Association Lexicon (NRC- EmoLex). First, online translators have been automatically queried in order to create a first version of our new French Expanded Emotion Lexicon (FEEL). Then, a human professional translator manually validated the automatically obtained entries and the associated emotions. She agreed with more than 94% of the pre- validated entries (those found by a majority of translators) and less than 18% of the remaining entries (those found by very few translators). This result highlights that online tools can be used to get high quality resources with low cost. Annotating a subset of terms by three different annotators shows that the associated sentiments and emotions are consistent.
Keyword: [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI]; [INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]; Emotion classification; Opinion mining; Polarity detection; Semi-automatic translation; Sentiment analysis; Sentiment lexicon
URL: https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090/document
https://hal-lirmm.ccsd.cnrs.fr/lirmm-02136090/file/FEEL.zip
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3
Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor
In: Business Faculty Publications (2019)
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4
Sentiment and emotion analysis of complex reviews ; Analyse des sentiments et des émotions de commentaires complexes en langue française
Pecore, Stefania. - : HAL CCSD, 2019
In: https://tel.archives-ouvertes.fr/tel-02903247 ; Linguistique. Université de Bretagne Sud, 2019. Français. ⟨NNT : 2019LORIS522⟩ (2019)
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A Fine-grained Multilingual Analysis Based on the Appraisal Theory: Application to Arabic and English Videos
In: ICALP: International Conference on Arabic Language Processing ; https://hal.archives-ouvertes.fr/hal-02314244 ; ICALP: International Conference on Arabic Language Processing, Oct 2019, Nancy, France. pp.49-61, ⟨10.1007/978-3-030-32959-4_4⟩ (2019)
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6
A FRAMEWORK FOR ARABIC SENTIMENT ANALYSIS USING MACHINE LEARNING CLASSIFIERS
In: ISSN: 1992-8645 ; EISSN: 1817-3195 ; Journal of Theoretical and Applied Information Technology ; https://hal.archives-ouvertes.fr/hal-02300717 ; Journal of Theoretical and Applied Information Technology, JATIT, 2019 (2019)
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7
El sesgo ideológico en el tratamiento informativo del Brexit en la prensa anglosajona
In: LA NUEVA COMUNICACIÓN DEL SIGLO XXI ; https://hal.archives-ouvertes.fr/hal-03126322 ; P. López Villafranca, J. I. Niño González, & L. F. Solano Santos. LA NUEVA COMUNICACIÓN DEL SIGLO XXI, EDICIONES PIRÁMIDE (Grupo Anaya), 2019, 978-84-368-4254-8 (2019)
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8
Overwhelmed by Negative Emotions? Maybe You Are Being Cyber-bullied!
In: Symposium On Applied Computing ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing ; https://hal.archives-ouvertes.fr/hal-02020829 ; SAC 2019 - The 34th ACM/SIGAPP Symposium On Applied Computing, Apr 2019, Limassol, Cyprus. ⟨10.1145/3297280.3297573⟩ (2019)
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9
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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11
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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12
Twitter Post Messages (138.070 pcs) related to Dow Jones Index and (34.632 pcs) related to Istanbul Stock Exchange. ...
OZPARLAK, GERCEK. - : Mendeley, 2019
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13
The Secret to Popular Chinese Web Novels: A Corpus-Driven Study
Lin, Yi-Ju; Hsieh, Shu-Kai. - : Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, 2019. : OASIcs - OpenAccess Series in Informatics. 2nd Conference on Language, Data and Knowledge (LDK 2019), 2019
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14
Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm ...
Samonte, Benjie R.. - : Zenodo, 2019
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Bilingual Feedback Management System for Frontline Services with Sentiment Analysis using Naïve-Bayes Algorithm ...
Samonte, Benjie R.. - : Zenodo, 2019
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16
Generating linked-data based domain-specific sentiment lexicons from legacy language and semantic resources
Vulcu, Gabriela; Buitelaar, Paul; Pereira, Bianca. - : European Language Resources Association, 2019
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17
Linguistic linked data for sentiment analysis
Arcan, Mihael; Sánchez-Rada, Juan Fernando; Strapparava, Carlo. - : Association for Computational Linguistics, 2019
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18
An exploration of a financial lexicon-based approach to sentiment analysis and its application to financial news and reports
Kirchner, Avery N., 1997--. - : Northern Illinois University, 2019
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19
The SSIX corpora: three gold standard corpora for sentiment analysis in English, Spanish and German financial microblogs
Gaillat, Thomas; Zarrouk, Manel; Freitas, André. - : European Language Resources Association, 2019
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20
Detecting and Monitoring Hate Speech in Twitter
In: Sensors ; Volume 19 ; Issue 21 (2019)
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